在本教程中，您将学习如何使用 TensorFlow.js 构建一个自定义图像分类器，并在浏览器中对它进行快速训练。
借助迁移学习，您将用少量的训练数据创建一个高度准确的模型。您将使用一个名为 MobileNet 的预训练模型进行图像分类。在此模型的基础上，您将训练一个模型来自定义它所能识别的图像类。
本教程作为一个 Codelab 演示。点击此链接可打开 Codelab
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最后更新时间 (UTC)：2021-08-16。
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